Spatial concept-based navigation with human speech instructions via probabilistic inference on Bayesian generative model.
Akira TaniguchiYoshinobu HagiwaraTadahiro TaniguchiTetsunari InamuraPublished in: Adv. Robotics (2020)
Keyphrases
- generative model
- probabilistic inference
- probabilistic model
- bayesian networks
- graphical models
- posterior probability
- conditional probabilities
- weighted model counting
- bayesian inference
- approximate inference
- markov chain monte carlo
- belief networks
- prior knowledge
- message passing
- latent dirichlet allocation
- topic models
- conditional random fields
- bayesian framework
- semi supervised
- exact inference
- em algorithm
- spatial information
- expectation maximization
- probability distribution
- belief propagation
- random variables
- posterior distribution
- hidden variables
- higher order
- learning algorithm
- data sets
- parameter estimation
- text classification
- markov random field
- dirichlet process mixture models